AI Engineering Specialist

6 days ago

Varanasi, Uttar Pradesh, India beBeeExpert Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: AI Engineering Expert

We are seeking a highly experienced GenAI Engineer with deep expertise in Prompt Engineering, Retrieval-Augmented Generation (RAG), and Vector Search Systems to integrate GenAI into our engineering ecosystem.

This is a contractor role where you will design intelligent assistants & agents to augment CI/CD workflows, knowledge retrieval, incident handling, and developer productivity using LLMs, Python, and NLP pipelines.

  1. Design & Optimize Prompts: Design and optimize prompts for LLM workflows ensuring accuracy and relevance.
  2. Build RAG Pipelines: Build RAG pipelines using vector DBs (FAISS, Pinecone, Weaviate, Qdrant).
  3. Integrate LLMs: Integrate LLMs into internal tools, CI/CD & observability dashboards.
  4. Implement GenAI Solutions: Implement GenAI solutions using LangChain, LlamaIndex, Haystack, Hugging Face etc.
  5. Fine-Tune LLMs: Fine-tune open-source/commercial LLMs (OpenAI, Claude, Cohere, Mistral) for domain use cases.
  6. Collaborate with Teams: Collaborate with DevOps & platform teams to drive automation with GenAI.
  7. Ensure Data Privacy: Ensure data privacy, governance, and ethical AI practices.

Required Skills:

  • 6–10+ years in engineering, with 2+ years hands-on in GenAI/LLMs/NLP.
  • Strong Python skills with experience in LangChain, Hugging Face, LlamaIndex.
  • Deep knowledge of vector databases & embeddings.
  • Proven experience designing and deploying RAG architectures.
  • Experience integrating LLM APIs (OpenAI, Azure OpenAI, Claude, etc.).

Nice to Have:

  • Experience with multi-modal models / fine-tuning LLMs.
  • Familiarity with developer-facing GenAI use cases: infra-as-code review, changelog generation, log triage.
  • Exposure to Kubernetes, GitOps, DevSecOps.

Work Location & Mode:

  • Any location - Hybrid model – 3 days/week from office.

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